code: def __getitem__(self, idx):
      img, target = super().__getitem__(idx)
      image_id = self.ids[idx]
      target = dict(image_id=image_id, annotations=target)
      if self._transforms is not None:
          img, target = self._transforms(img, target)
      return img, target
  
file_path: vision/references/detection/coco_utils.py
imports: import os
  import torch
  import torch.utils.data
  import torchvision
  import transforms
  from pycocotools import mask
  from pycocotools.coco import COCO
label_desc: Use image node_id 2 for calling the CocoDetection obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: img,  target